236,813 research outputs found

    A View on a Successful International Educational Project in Software Engineering

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    In this paper, a successful and fruitful joint project will be presented. The project joins participants from 9 countries and from 15 universities. Since it started in 2001, this project entitled “Software Engineering: Computer Science Education and Research Cooperation” helped participants to gain excellent, up to date educational material, apply modern teaching methods, exchange experiences with other participants, and work jointly on the further development of lectures, case-studies, assignments, examination questions, and other necessary elements of a course. Project works under auspices of Stability Pact of South-Eastern Europe, and is supported by DAAD. The project started with the creation of a common beginning course in “Software Engineering”, but over time it grew and the number of other courses was developed. Finished almost completely are the courses in “Object-oriented programming”, “Software Project Management”, “Advanced Compiler Construction”, and “Data Structures and Algorithms”, and some other courses are under development. Aside from the educational collaboration, project members also developed good scientific cooperation, and published several research papers

    Some Thoughts on the Teaching of Mathematics -- ten years later

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    I describe some deep-seated problems in higher mathematical education, and give some ideas for their solution -- I advocate a move away from the traditional introduction of mathematics through calculus, and towards computation and discrete mathematics.Comment: 10 pages, to appear in Notices of the AM

    Challenging the Computational Metaphor: Implications for How We Think

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    This paper explores the role of the traditional computational metaphor in our thinking as computer scientists, its influence on epistemological styles, and its implications for our understanding of cognition. It proposes to replace the conventional metaphor--a sequence of steps--with the notion of a community of interacting entities, and examines the ramifications of such a shift on these various ways in which we think

    A Cooperative Development System for an Interactive Introductory Programming Course

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    We present a system for a cooperative development of computer programs that was created for the lab sessions of an introductory programming course at the University of Ljubljana, Slovenia. The system relieved the students from the tedious task of retyping programs developed by the teaching assistant and enabled them to cooperate with the teaching assistant in solving programming problems. We thus made the lab sessions more efficient and interactive and brought them closer to the spirit of active learning approaches

    A Data Science Course for Undergraduates: Thinking with Data

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    Data science is an emerging interdisciplinary field that combines elements of mathematics, statistics, computer science, and knowledge in a particular application domain for the purpose of extracting meaningful information from the increasingly sophisticated array of data available in many settings. These data tend to be non-traditional, in the sense that they are often live, large, complex, and/or messy. A first course in statistics at the undergraduate level typically introduces students with a variety of techniques to analyze small, neat, and clean data sets. However, whether they pursue more formal training in statistics or not, many of these students will end up working with data that is considerably more complex, and will need facility with statistical computing techniques. More importantly, these students require a framework for thinking structurally about data. We describe an undergraduate course in a liberal arts environment that provides students with the tools necessary to apply data science. The course emphasizes modern, practical, and useful skills that cover the full data analysis spectrum, from asking an interesting question to acquiring, managing, manipulating, processing, querying, analyzing, and visualizing data, as well communicating findings in written, graphical, and oral forms.Comment: 21 pages total including supplementary material
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